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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11674
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    Explanations

    phrases related to technical instructions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    the word "as" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ople
    -0.67
    Rub
    -0.63
    ATIVE
    -0.63
    rous
    -0.62
    quist
    -0.62
    rolet
    -0.61
    ries
    -0.59
    osi
    -0.59
    Posts
    -0.58
    OY
    -0.58
    POSITIVE LOGITS
    ynchron
    1.18
    pired
    1.08
     well
    1.06
     follows
    1.06
     opposed
    1.06
    pires
    1.03
    phy
    1.03
    cription
    0.97
    well
    0.96
    bestos
    0.96
    Activations Density 0.229%

    No Known Activations